Triple

T6267537
Position Surface form Disambiguated ID Type / Status
Subject Lord Mansfield's house E140450 entity
Predicate targetedBecauseOf P69059 FINISHED
Object Lord Mansfield's perceived pro-Catholic sympathies LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lord Mansfield's perceived pro-Catholic sympathies | Statement: [Lord Mansfield's house, targetedBecauseOf, Lord Mansfield's perceived pro-Catholic sympathies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedBecauseOf
Context triple: [Lord Mansfield's house, targetedBecauseOf, Lord Mansfield's perceived pro-Catholic sympathies]
  • A. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • B. usesTarget
    Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
  • C. targetedByPolicy
    Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
  • D. targetedCondition
    Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
  • E. wasTargetDuring
    Indicates that an entity served as the target of another entity or action during a specified time period or event.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a0f2548190a2f5c307bc5a67cf completed March 22, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69c05606fb50819082d1a5a91e5030b6 completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056c965ac8190b938502fa8c74e1b completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:25 p.m.